Anna Bocchino | Nursing and AI | AI Breakthrough Award

Posted on by sciencefather

Prof. Dr. Anna Bocchino | Nursing and AI | AI Breakthrough Award

Professor at Salus Infirmorum Nursing University, Spain

Anna Bocchino is a dedicated academic and researcher in the fields of psychosocial sciences, transcultural health, and social psychology, with extensive involvement in both education and scientific inquiry. She is currently serving as a full-time faculty member at the Centro Universitario de Enfermería Salus Infirmorum, affiliated with the University of Cádiz. Her professional trajectory is marked by a consistent focus on culturally competent care, innovative pedagogy in nursing education, and the psychosocial dynamics of health. Her interdisciplinary approach bridges psychology, nursing, and social theory, making her a prominent contributor in both academic and clinical contexts.

Profile

ORCID

Education

Anna Bocchino holds a doctoral degree in psychology from the University of Naples, where her thesis explored cross-cultural competencies among nurses in Caserta and Seville. Her academic foundation is rooted in relational sciences, with an emphasis on integrating community psychology principles into healthcare settings. Over the years, her educational pursuits have been complemented by continuous professional development, focusing on gender studies, intercultural communication, and advanced clinical diagnostics within the nursing profession.

Experience

Bocchino has held teaching positions in multiple core subjects including “Ciencias Psicosociales Aplicadas”, “Transculturalidad, Género y Salud”, and “Habilidades de la Comunicación Intercultural.” These have been delivered through in-person modalities to undergraduate nursing students. In addition to teaching, she has coordinated several innovation projects at the University of Cádiz aimed at improving didactic strategies, such as integrating ICT in the classroom and utilizing gamification through educational tools like “Trivial NANDA.” Furthermore, her research and teaching excellence are demonstrated by her involvement in numerous funded projects focusing on curriculum development and student engagement.

Research Interests

Her primary research interests include transcultural health, the psychology of migration, burnout in healthcare settings, and the development of diagnostic tools in nursing. She has explored themes such as professional grief, cultural empathy, and the use of artificial intelligence in clinical decision-making. Bocchino’s work often incorporates content validation methodologies and psychometric analysis, reflecting her commitment to evidence-based practice. She is also interested in the pedagogical development of future nurses, with a special emphasis on fostering intercultural sensitivity and improving patient-provider communication.

Awards and Recognition

Throughout her career, Bocchino has received institutional recognition for her contributions to teaching innovation and academic research. She has led or co-led various projects funded under the University of Cádiz’s initiatives for improving academic performance and enhancing scientific dissemination. Her leadership in these initiatives has positioned her as a role model within the academic nursing community.

Publications

  • The Integration of AI into the Nursing Process: A Comparative Analysis of NANDA, NOC, and NIC-Based Care Plans

    • Journal: Nursing Reports

    • Date: 2025-05-27

    • DOI: 10.3390/nursrep15060186

    • Co-authors: Ester Gilart, Patricia Gilart-Cantizano, Eva Manuela Cotobal-Calvo, Isabel Lepiani-Diaz, Daniel Román-Sánchez, José Luis Palazón-Fernández

  • Risk Determinants of Sexual Behaviors: Dating Apps, History of Sexually Transmitted Infections, Substance Use, and Pornography Consumption in Health Science Students

    • Journal: Nursing Reports

    • Date: 2025-02-28

    • DOI: 10.3390/nursrep15030083

    • Co-authors: María Naranjo-Márquez, Ester Gilart, Eva Manuela Cotobal-Calvo, Fortuna Procentese, José Luis Palazón-Fernández

  • Self-Medication Practice and Associated Factors Among Health Professionals in Spain

    • Journal: Nursing Reports

    • Date: 2025-02-04

    • DOI: 10.3390/nursrep15020053

    • Co-authors: Eva Manuela Cotobal-Calvo, Concepción Mata-Pérez, Ester Gilart, Belén Gutiérrez-Baena, José Luis Palazón-Fernández

  • Content Validation of the Self-Medication Scale and Trust in Online Resources: Deepening Digital Access to Health

    • Journal: Nursing Reports

    • Date: 2024-07-31

    • DOI: 10.3390/nursrep14030141

    • Co-authors: Eva Manuela Cotobal Calvo, Concepción Mata-Pérez, Alberto Cruz-Barrientos, María Naranjo-Márquez, José Luis Palazón-Fernández

  • Identifying Hate Speech and Attribution of Responsibility: An Analysis of Simulated WhatsApp Conversations during the Pandemic

    • Journal: Healthcare

    • Date: 2023-05-26

    • DOI: 10.3390/healthcare11111564

    • Co-authors: José Luis Palazón-Fernández, Concepción Mata-Perez, Ester Gilart, Eva Manuela Cotobal Calvo, Alberto Cruz-Barrientos

  • Bereavement Needs Assessment in Nurses: Elaboration and Content Validation of a Professional Traumatic Grief Scale

    • Journal: International Journal of Environmental Research and Public Health

    • Date: 2022-03-03

    • DOI: 10.3390/ijerph19052968

    • Co-authors: Ester Gilart, Isabel Lepiani, María Dueñas, Maria José Cantizano Nuñez, Belen Gutierrez Baena

  • Psychometric Properties of Unemployment Syndrome Scale and Relevance to Clinical Practice

    • Journal: International Journal of Nursing Knowledge

    • Date: 2021-10

    • DOI: 10.1111/2047-3095.12316

    • Co-authors: Isabel Lepiani, Ester Gilart, Maria Jesus Medialdea, María Dueñas Rodriguez

Conclusion

Anna Bocchino exemplifies the modern academic committed to bridging scientific rigor with humanistic care in health education. Her contributions extend across teaching, research, and community engagement. Whether validating new diagnostic scales or exploring the socio-psychological dimensions of healthcare, she maintains a focus on quality, cultural respect, and empirical relevance. Her scholarly output and collaborative projects reveal a clear vision: advancing nursing through innovation, inclusion, and interdisciplinary synergy.

Giulia Iaconi | AI in Healthcare | Best Researcher Award

Posted on by sciencefather

Dr. Giulia Iaconi | AI in Healthcare | Best Researcher Award

PhD Student at University of Genoa, Italy

Giulia Iaconi is a passionate and driven PhD student at the Università degli Studi di Genova, where she is pursuing her doctoral studies in Science and Technology for Electronics and Telecommunications Engineering, with a specialization in Electromagnetism, Electronics, and Telecommunications. Her academic foundation in biomedical and neuroengineering provides her with a unique interdisciplinary approach to address complex challenges in biomedical signal processing and computational neuroscience. Her journey reflects a dedicated pursuit of innovation, especially at the intersection of engineering, healthcare, and data science, where she leverages computational tools and machine learning to advance diagnostic and rehabilitation methods. Giulia’s commitment to applying technology to improve human health has guided her academic and research efforts, culminating in multiple scholarly contributions and participation in prominent interdisciplinary projects aimed at advancing digital health solutions.

Profile

Orcid

Education

Giulia began her academic career at the Alma Mater Studiorum of Bologna, where she obtained her bachelor’s degree in Biomedical Engineering. Her undergraduate thesis focused on exploring bradykinesia in Parkinson’s disease patients through neural models, highlighting her early interest in neuroscience and computational approaches. She later pursued a master’s degree in Neuroengineering from the University of Genoa, where her thesis delved into developing a computational model of the cortico-hippocampal circuit to characterize in vitro experimental dynamics. These educational experiences equipped her with a strong foundation in signal processing, systems modeling, and neurobiological applications. Currently, she is in the final phase of her PhD, during which she continues to deepen her expertise in electronic and telecommunication engineering within biomedical contexts, contributing meaningfully to both academic research and applied innovations.

Experience

Giulia’s research experience spans various domains of biomedical engineering, with a particular focus on digital image processing, data analysis, and machine learning as supportive tools in diagnosis, classification, and rehabilitation. As part of the STORMS (Solution Towards Occupational Rehabilitation for Multiple Sclerosis) project, she worked as an engineer responsible for the design and development of serious games aimed at cognitive assessment and rehabilitation of multiple sclerosis patients. Her interdisciplinary collaborations have enabled her to integrate technological solutions with clinical practices, offering digital innovations to healthcare. Through her involvement in this and other initiatives, she has demonstrated proficiency in implementing supervised learning models, analyzing clinical datasets, and creating user-friendly rehabilitation platforms.

Research Interest

Giulia’s research interests lie at the convergence of computational neuroscience, biomedical signal processing, and intelligent healthcare systems. She is particularly invested in the development of machine learning algorithms and digital tools that enhance early diagnosis and personalized rehabilitation. Her work often involves constructing computational models that replicate brain circuitry behavior or employing image and signal processing to extract meaningful clinical insights. She is passionate about building systems that are not only technically robust but also accessible and impactful in clinical settings. Her recent work has emphasized the integration of these techniques into remote healthcare applications, such as telerehabilitation systems that assist in motor recovery monitoring for neurological patients.

Award

Giulia Iaconi is a strong candidate for the Best Researcher Award due to her continued excellence in research, particularly in biomedical engineering applications that merge computational tools with real-world clinical impact. Her contributions to digital health through machine learning and image processing have advanced diagnostic accuracy and patient rehabilitation techniques. Her interdisciplinary work, both in academia and in applied research projects like STORMS, has set a high benchmark in innovation-led healthcare engineering. Her scholarly achievements, active engagement in engineering communities such as IEEE, and ability to collaborate across disciplines collectively demonstrate her outstanding merit in research and development.

Publication

Giulia has published several impactful research articles that showcase her expertise and innovative contributions. Some of her notable publications include:

“Supervised learning algorithms for liver fibrosis classification using ultrasound images,” published in Electronics, 2023 – cited by 6 articles.

“Analysis of event-related potentials in multiple sclerosis rehabilitation: A case study,” in Biomedical Signal Processing and Control, 2022 – cited by 9 articles.

“Computational modeling of the cortico-hippocampal circuit for neurodynamics interpretation,” in Frontiers in Computational Neuroscience, 2023 – cited by 4 articles.

“Digital biomarkers in telehealth systems for cognitive assessment,” published in Sensors, 2022 – cited by 5 articles.

“Development of serious games for neurological rehabilitation,” in Journal of Medical Systems, 2021 – cited by 7 articles.

“Feature extraction from EEG signals for attention deficit assessment,” in IEEE Access, 2023 – cited by 3 articles.

“Artificial intelligence in biomedical imaging: A review on liver disease diagnostics,” in Diagnostics, 2022 – cited by 6 articles.

Conclusion

In conclusion, Giulia Iaconi exemplifies a new generation of researchers who are reshaping biomedical engineering through the application of cutting-edge technologies. Her deep academic grounding, coupled with her research innovation in neuroengineering and digital health, makes her a promising contributor to the future of intelligent healthcare systems. Her collaborative efforts, scholarly publications, and real-world project involvement reflect her commitment to enhancing patient outcomes using data-driven solutions. Through her doctoral studies and beyond, Giulia continues to push the boundaries of what technology can achieve in medical science, making her an ideal nominee for the Best Researcher Award.

Yuming Jiang | AI in Healthcare | Best Researcher Award

Posted on by sciencefather

Assist. Prof. Dr. Yuming Jiang | AI in Healthcare | Best Researcher Award

Assistant Professor of Radiation Oncology at Wake Forest University School of Medicine, United States

Dr. Yuming Jiang, MD, PhD, is an Assistant Professor in the Department of Radiation Oncology at Wake Forest University School of Medicine, North Carolina, USA. His research and clinical expertise focus on the integration of artificial intelligence and digital pathology to improve cancer prognosis and treatment strategies. With a strong background in oncology and computational medicine, Dr. Jiang has made significant contributions to the understanding of tumor microenvironments and the application of deep learning in radiomics.

Profile

Google Scholar

Education

Dr. Jiang obtained his MD and PhD degrees from prestigious institutions, demonstrating a commitment to both clinical practice and scientific research. He completed his PhD in oncology at a leading university in China, followed by a postdoctoral fellowship at Stanford University from 2018 to 2023. In August 2023, he joined Wake Forest University School of Medicine as an Assistant Professor, where he continues to advance the field of radiation oncology through innovative research and patient-centered care.

Experience

Dr. Jiang has a diverse professional background that spans clinical medicine, academic research, and technological innovation. Before joining Wake Forest University, he worked as a Postdoctoral Research Fellow at Stanford University, where he contributed to groundbreaking studies on digital pathology, cancer immunotherapy, and noninvasive imaging techniques. His expertise in artificial intelligence and machine learning has enabled him to develop predictive models for cancer prognosis, treatment response, and survival outcomes.

Research Interests

Dr. Jiang’s research is centered on the intersection of oncology and artificial intelligence. His key interests include deep learning-based radiomics, tumor microenvironment analysis, and predictive modeling for personalized cancer treatment. He aims to harness computational tools to enhance diagnostic accuracy and therapeutic decision-making in radiation oncology. His work has had a profound impact on the understanding of tumor biology and has paved the way for more effective, individualized treatment strategies.

Awards

Dr. Jiang has been recognized for his contributions to oncology and medical research with several prestigious awards. His research has received accolades from leading medical societies and journals, highlighting his role in advancing cancer diagnostics and treatment methodologies. His innovative work in AI-driven oncology has earned him invitations to speak at international conferences and collaborate with esteemed institutions worldwide.

Publications

Jiang Y, Zhang Z, Wang W, Huang W, et al. “Biology-guided deep learning predicts prognosis and cancer immunotherapy response.” Nature Communications, 2023; 14: 5135. (Cited by 16.6)

Jiang Y, Zhou K, Sun Z, Wang H, et al. “Non-invasive tumor microenvironment evaluation using deep learning radiomics.” Cell Reports Medicine, 2023; 4:101146. (Cited by 14.3)

Jiang Y, Zhang Z, Yuan Q, Wang W, et al. “Predicting peritoneal recurrence from CT images using multi-task deep learning.” Lancet Digital Health, 2022; 4(5): e340-e350. (Cited by 36.6)

Jiang Y, Li R, Li G. “Artificial intelligence for clinical oncology: current status and future outlook.” Science Bulletin, 2023; (23): 00113-5. (Cited by 18.9)

Jiang Y, Liang X, Wang W, Chen C, et al. “Radiographical assessment of tumor stroma and treatment outcomes using deep learning.” Lancet Digital Health, 2021; 3(6): e371-e382. (Cited by 36.6)

Jiang Y, Jin C, Yu H, Wu J, et al. “Deep Learning CT Signature to Predict Survival and Chemotherapy Benefit in Gastric Cancer.” Annals of Surgery, 2021; 274(6): e1153-e1161. (Cited by 13.8)

Jiang Y, Wang H, Wu J, Chen C, et al. “Noninvasive imaging evaluation of tumor immune microenvironment in gastric cancer.” Annals of Oncology, 2020; 31(6): 760-768. (Cited by 32.9)

Conclusion

Dr. Yuming Jiang is at the forefront of integrating artificial intelligence into oncology, bringing innovative solutions to cancer diagnosis and treatment. His expertise in deep learning, radiomics, and tumor microenvironment studies has significantly advanced the field of radiation oncology. With a strong research background and a commitment to improving patient outcomes, Dr. Jiang continues to contribute to the medical community through his pioneering work in AI-driven cancer diagnostics and therapy.

Peng YU | AI in Healthcare | Best Researcher Award

Posted on by sciencefather

Mr. Peng YU | AI in Healthcare | Best Researcher Award

Associate Senior Doctor at The Second Affiliated Hospital of Nanchang University, China

Dr. Peng Yu is an Associate Senior Doctor in the Department of Endocrinology & Metabolism at The Second Affiliated Hospital of Nanchang University. With a strong background in medicine and extensive experience in both clinical and academic settings, he has made significant contributions to the study of endocrinology, metabolism, and cardiovascular diseases. His research spans various areas, including diabetes, cardiovascular health, and molecular mechanisms of metabolic disorders. In addition to his role as a clinician, he is an active researcher, reviewer for several prestigious international journals, and a recipient of multiple awards recognizing his contributions to medical science.

Profile

Scopus

Education

Dr. Yu earned his Ph.D. in Medicine from Nanchang University in 2017 and previously obtained a Master’s degree in Medicine from Nanjing Medical University in 2014. His academic journey has provided him with in-depth expertise in internal medicine, cardiology, and metabolic disorders. Furthering his research career, he completed a fellowship at Massachusetts General Hospital, Harvard Medical School, focusing on cutting-edge research in CCP medicine. His multidisciplinary education has allowed him to integrate clinical expertise with molecular and cellular research, contributing to advancements in the field of endocrinology and metabolism.

Experience

Dr. Yu has held various roles in the medical field, beginning as a Resident Doctor at The Second Affiliated Hospital of Nanchang University from 2017 to 2019. He was later promoted to Attending Doctor, serving from 2019 to 2021. Since 2021, he has been an Associate Senior Doctor at the same institution, where he continues to provide expert medical care, mentor students, and engage in research activities. His collaborations with prominent researchers, including those at Harvard Medical School and Jilin University, have enriched his expertise and research output. His involvement in over 60 research projects, including several funded by the National Natural Science Foundation of China, highlights his leadership in medical research.

Research Interests

Dr. Yu’s research primarily focuses on endocrinology and metabolism, with particular emphasis on diabetes, cardiovascular diseases, and the molecular mechanisms underlying metabolic disorders. His expertise extends to mitochondrial function, oxidative stress, and the role of programmed cell death in disease progression. Utilizing various research methodologies, including confocal microscopy, Seahorse metabolic analysis, and in vivo disease modeling, he has contributed to the understanding of metabolic disorders at both cellular and systemic levels. His work also explores novel therapeutic targets for diabetic cardiomyopathy and myocardial ischemia-reperfusion injury, positioning him at the forefront of translational medicine in this domain.

Awards

Dr. Yu has been recognized for his contributions to medical research with multiple awards, including:

  • Jiangxi Provincial Science and Technology Progress Third Prize (2019)
  • The Third Prize of Medical Science and Technology of Jiangsu Province (2019, 2023)
  • Young Innovative Talent Award, The Second Affiliated Hospital of Nanchang University (2023)

His achievements underscore his commitment to advancing medical knowledge and improving clinical outcomes in endocrinology and metabolism.

Publications

Dr. Yu has published extensively, with over 150 academic papers, including more than 100 SCI-indexed publications. His recent notable works include:

Yu P et al. “Comprehensive exploration of programmed cell death landscape in lung adenocarcinoma combining multi-omic analysis and experimental verification.” Sci Rep. 2025; 15(1):5364.

Yu P et al. “Performance of ChatGPT on the Chinese Postgraduate Examination for Clinical Medicine: Survey Study.” JMIR Med Educ. 2024; 10:e48514.

Zhao H, Li X, Yu P et al. “Association between weight loss and outcomes in patients undergoing atrial fibrillation ablation: A systematic review and meta-analysis.” Nutr Metab (Lond). 2023; 20(1):5.

Yu P et al. “Obesity and clinical outcomes in COVID-19 patients without comorbidities.” Front Endocrinol. 2022; 13:936976.

Yu P et al. “Dexmedetomidine post-conditioning alleviates myocardial ischemia-reperfusion injury in rats by ferroptosis inhibition via SLC7A11/GPX4 axis activation.” Hum Cell. 2022; 35(3):836-848.

Peng Y et al. “The Association of Serum IL-10 Levels with the Disease Activity in Systemic-Onset Juvenile Idiopathic Arthritis Patients.” Mediators Inflamm. 2021; 2021:6650928.

Conclusion

Dr. Peng Yu is a distinguished clinician and researcher specializing in endocrinology and metabolism. His contributions to the field through extensive research, innovative approaches to disease treatment, and active mentorship have positioned him as a leading expert in his domain. With numerous research grants, impactful publications, and prestigious awards, he continues to drive advancements in medical science. His work not only enhances the understanding of metabolic disorders but also informs the development of novel therapeutic strategies, ensuring better patient outcomes in the future.

Ester Zamarrón de Lucas | AI in Healthcare | Best Researcher Award

Posted on by sciencefather

Dr. Ester Zamarrón de Lucas | AI in Healthcare | Best Researcher Award

Doctor at La Paz University Hospital, Spain

Dr. Ester Zamarrón de Lucas is a distinguished medical professional specializing in pulmonology, with extensive experience in clinical research, patient care, and academic contributions. She has dedicated her career to advancing respiratory medicine, particularly in the areas of obstructive lung diseases, sleep apnea, and critical care pulmonology. With a strong academic background and a commitment to evidence-based medicine, Dr. Zamarrón has actively participated in national and international research projects, contributing significantly to the understanding and treatment of respiratory diseases.

Profile

Scopus

Education

Dr. Zamarrón’s academic journey began with her undergraduate studies in Medicine and Surgery at the Universidad de Santiago de Compostela (2006-2012). She later pursued specialized training in pulmonology at the Hospital Universitario La Paz (2013-2017). Her commitment to continuous learning is evident through her multiple postgraduate qualifications, including master’s degrees in airway diseases, chronic obstructive pulmonary disease (COPD), and applied health statistics. In 2021, she earned her Doctorate in Medicine and Surgery with International Mention from the Universidad Autónoma de Madrid, receiving the highest honors for her research on the impact of CPAP therapy on diabetic nephropathy and obstructive sleep apnea.

Experience

Dr. Zamarrón has amassed significant clinical experience across various prestigious institutions. She served as a resident doctor in pulmonology at Hospital Universitario La Paz, followed by research and clinical roles in Madrid’s leading hospitals, including Hospital Universitario de Móstoles and Clínica Cemtro. Since 2017, she has been a specialist in pulmonology at Hospital Universitario La Paz, providing expert care in respiratory disorders. Additionally, she has contributed her expertise to the QuirónSalud group, further broadening her impact on patient care and medical research.

Research Interests

Dr. Zamarrón’s research focuses on a range of respiratory conditions, including COPD, sleep apnea, pulmonary hypertension, and critical care medicine. She has been actively involved in studies assessing the interplay between obstructive lung diseases and cardiovascular health, as well as the impact of novel therapeutic interventions on respiratory failure. Her work extends to environmental health, examining the effects of air pollution on pulmonary diseases and disease progression in conditions like idiopathic pulmonary fibrosis.

Awards and Recognitions

Dr. Zamarrón has been recognized for her contributions to respiratory medicine and clinical research. Her doctoral thesis received the “Premio Extraordinario de Doctorado” for its outstanding impact. She has also been the recipient of research grants from institutions such as the Instituto de Salud Carlos III, which supported her work on CPAP therapy in patients with comorbidities. Her expertise has been acknowledged through invitations to international conferences and collaborations with leading respiratory research networks, such as ERN-Lung Academy.

Selected Publications

Zamarrón E, Ribate D, Fernández-Lahera J, Villasante C. “Biological Treatments in Asthma: A New Era.” Rev Patol Respir. 2018;21:43-5.

Mediano O, Casitas R, Villasante C, et al. “Dynamic Hyperinflation in Asthmatic Patients with Exercise-Induced Bronchoconstriction.” Ann Allergy Asthma Immunol. 2017;118:427-32. (Cited by 50 articles)

Zamarrón-de Lucas E, García-Fernández E, Carpio C, et al. “Massive Cardiac Lipomatosis: An Autopsy Finding in Sudden Death.” Med Clin. 2016;146:541-3. (Cited by 30 articles)

Zamarrón E, Galera R, Falcone A, Martínez C. “Diagnostic and Therapeutic Protocol for Respiratory Failure in Emergency Care.” Medicine. 2018;12:3903-7. (Cited by 40 articles)

Zamarrón E, Carpio C, Santiago A, et al. “Impact of Non-Invasive Respiratory Therapies in Severe COVID-19 Patients.” An RANM. 2020;137:154-60. (Cited by 75 articles)

Díaz-García E, Jaureguizar A, Casitas R, et al. “SMAD4 Overexpression in Sleep Apnea Patients: A Potential Link to Cardiometabolic Comorbidities.” J Clin Med. 2020;9:2378. (Cited by 55 articles)

Zamarrón E, Jaureguizar A, García-Sánchez A, et al. “Obstructive Sleep Apnea and Impaired Renal Function in Diabetic Kidney Disease.” Sci Rep. 2021;11:5675. (Cited by 60 articles)

Conclusion

Dr. Ester Zamarrón de Lucas stands as a highly respected pulmonologist whose contributions to research, clinical care, and medical education continue to shape the field of respiratory medicine. Her expertise in sleep apnea, COPD, and pulmonary hypertension, coupled with her dedication to advancing treatment strategies, underscores her impact on patient health and scientific progress. Through her work, she remains committed to improving respiratory care and fostering innovative approaches to disease management.

Andreia de Bem Machado | AI in Healthcare | Best Researcher Award

Posted on by sciencefather

Dr. Andreia de Bem Machado | AI in Healthcare | Best Researcher Award

Professor | Federal University of Santa Catarina| Brazil

Andreia de Bem Machado is a teacher, researcher, educational consultant, and academic work supervisor based in Santa Catarina, Brazil. With over 25 years of experience in the education sector, her academic journey is highlighted by a PhD in Engineering and Knowledge Management from the Federal University of Santa Catarina (UFSC), a Master’s in Scientific and Technological Education from the same institution, and a specialization in Literacy. She has been involved in diverse educational fields, including distance education, hybrid teaching, digital technologies, and knowledge management. She has held positions in universities, schools, and research institutions, contributing to educational innovation and policy development. As an expert in these areas, she has also published several articles and chapters in national and international journals.

Profile

Scopus

Education

Andreia de Bem Machado’s educational qualifications reflect her extensive expertise in education and knowledge management. She holds a PhD in Engineering and Knowledge Management from UFSC (2014–2018), with a focus on entrepreneurship, administration, and innovation. Prior to this, she completed a Master’s degree in Scientific and Technological Education at UFSC (2005–2007), further specializing in literacy through a post-graduate program at Santa Catarina State University (1994–1996). Her undergraduate degree in Pedagogy was also from Santa Catarina State University, where she graduated in 1994. These academic credentials have provided her with the theoretical foundation to pursue and contribute to research and education in a variety of academic and professional settings.

Experience

Dr. Andreia de Bem Machado has held numerous teaching and administrative roles throughout her career. Currently, she serves as the Director of Education at the Palhoça Municipal Department of Education in Brazil. She also holds positions as a Special Education Advisor and a professor in Pedagogy and Engineering courses at various educational institutions, including Faculdade Municipal da Palhoça and Faculdade do Vale. Additionally, she works as an evaluator for the National Institute for Educational Studies and Research (INEP), and her academic experience spans multiple universities such as the Federal University of Santa Catarina (UFSC) and Leonardo da Vinci University Center. Furthermore, Andreia has contributed to international education through her role as an evaluator for the Ministry of Education in Portugal and a consultant for UNESCO in special education materials. Her diverse experience emphasizes her dedication to educational excellence and innovation across local and global contexts.

Research Interests

Andreia’s primary research interests lie at the intersection of education, technology, and management. She has a deep focus on distance education, hybrid teaching models, and the integration of digital technologies into educational practices. Additionally, her research explores the concept of knowledge management, with applications in business administration and entrepreneurship. She is particularly interested in how digital tools and active learning methodologies can foster sustainable education and contribute to the development of innovative educational environments. Her work also delves into special education, specifically in creating inclusive learning environments for students with visual impairments. Andreia has collaborated with various research groups, including the Center for Studies in Intelligence, Management, and Technologies for Innovation (IGTI), to further explore these topics.

Awards

Throughout her career, Dr. Andreia de Bem Machado has received various accolades for her contributions to education. Notably, she was recognized with the Student Merit Award during her academic tenure. This acknowledgment reflects her academic excellence and her ongoing commitment to improving education, particularly in the domains of special education and distance learning. She also participated in multiple training and certification programs that have reinforced her expertise, such as courses on educational technologies, school management, and innovative teaching practices.

Publications

Dr. Andreia de Bem Machado has authored several significant publications in the fields of education, knowledge management, and technology. Her contributions include book chapters and journal articles in both national and international academic forums. A few of her selected publications include:

  1. Machado, A. de B. (2022). Digital Learning as an Educational Format towards Sustainable Education. Journal of Education and Technology, 28(1), 45–60.
  2. Machado, A. de B. (2021). Innovative Learning Methods for Distance Education. International Journal of Educational Innovations, 22(3), 134–150.
  3. Machado, A. de B., & Souza, M. (2020). Hybrid Teaching Models in Higher Education: Challenges and Opportunities. Journal of Educational Research, 45(2), 78–92.
  4. Machado, A. de B. (2019). Inclusive Education for Students with Visual Impairments: Approaches and Solutions. International Journal of Special Education, 18(4), 210–220.

Her work has been widely cited by scholars in educational research, with numerous articles examining the integration of technology in education and innovative teaching strategies. These contributions continue to influence academic thought in her field.

Conclusion

Dr. Andreia de Bem Machado’s multifaceted career underscores her dedication to advancing education through innovative practices and research. Her academic qualifications, coupled with extensive experience in various educational roles, allow her to be a leader in both the theoretical and practical realms of education. She has significantly contributed to the improvement of education systems through her involvement in distance learning, hybrid teaching, and special education. Her continued research and publications in knowledge management and educational technologies emphasize her position as a thought leader in the field, shaping the future of education in Brazil and beyond.